Abstract
We address the problem of estimating the population density from mobile phone data. After critically examining the relevant network-based data sources (CDR, VLR and passive monitoring systems) a novel methodology is presented with two key novelties. First, it enables
the fusion of cell-level and Location Area-level data from heterogeneous data sources.
Second, it considers a novel tessellation scheme based on cell coverage maps, instead of cell tower locations. Furthermore, it allows to integrate data from different network operators
onto a common reference grid. Within the proposed framework, a Maximum-Likelihood formulation for the population density estimation problem is developed and tested via simulations,showing a significant gain over existing Voronoi-based schemes.
Originalsprache | Englisch |
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Seiten (von - bis) | 65-82 |
Seitenumfang | 18 |
Fachzeitschrift | Pervasive and Mobile Computing |
Volume | 35 |
DOIs | |
Publikationsstatus | Veröffentlicht - 2017 |
Research Field
- Ehemaliges Research Field - Mobility Systems